Affine registration of multispectral images of historical documents for optimized feature recovery.
Multispectral (MSI) imaging of historical documents can recover lost features, such as text or drawings. This technique involves capturing multiple images of a document illuminated using different wavelengths of light. The images created must be registered in order to ensure optimal results are prod...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 3; pp. 587 - 601 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=146172318&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146172318 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2020 vid: 35 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 146172318 10.1093/llc/fqz054 ppf: 587 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 838KB tig: atl: Affine registration of multispectral images of historical documents for optimized feature recovery. aug: au: Jones, Cerys Christens-Barry, William A Terras, Melissa Toth, Michael B Gibson, Adam affil: UCL Department of Medical Physics and Biomedical Engineering , London, UK Equipoise Imaging LLC , Ellicott City, MD, USA College of Arts , Humanities and Social Sciences, University of Edinburgh, Edinburgh, UK R.B. Toth Associates , Oakton, VA, USA su: Historical source material Multispectral imaging Image registration Optical elements Light filters Image processing Photocopying sug: subj: Historical source material Multispectral imaging Image registration Optical elements Light filters Image processing Photocopying ab: Multispectral (MSI) imaging of historical documents can recover lost features, such as text or drawings. This technique involves capturing multiple images of a document illuminated using different wavelengths of light. The images created must be registered in order to ensure optimal results are produced from any subsequent image processing techniques. However, the images may be misaligned due to the presence of optical elements such as filters, or because they were acquired at different times or because the images were captured from different copies of the documents. There is little prior work or information available about which image registration techniques are most appropriate. Image registration of multispectral images is challenging as the illumination changes for each image and the features visible in images captured at different wavelengths may not appear consistently throughout the image sequence. Here, we compare three image registration techniques: two based on similarity measures and a method based on phase correlation. These methods are characterized by applying them to realistic surrogate images and then assessed on three different sets of real multispectral images. Mutual information is recommended as a measure for affine image registration when working with multispectral images of documentary material as it was proven to be more robust than the other techniques tested. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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